J Dent Oral Biol | Volume 9, Issue 2 | Research Article | Open Access
Elad L1, Hijazi T2 and Muwaquet S2*
1Dentistry Degree of the Catholic University of Valencia, Spain 2Faculty of Medicine and Health Science, Catholic University of Valencia, Spain
*Correspondance to: Susana Muwaquet Rodriguez
Fulltext PDFIntroduction: Patient diagnosis and treatment planning are fundamental for achieving a successful and favorable treatment outcome. However, the complexity of these phases requires thorough patient evaluation and dental expertise. Modern dentistry employs various advanced digital technologies to aid dental practitioners. Objectives: This systematic review, meta-analysis, and clinical protocol aimed to analyze the current trends in modern dentistry, focusing on optimizing diagnosis and treatment plan procedures through the incorporation of advanced digital technologies, and establishing a protocol for the use of these technologies in clinical practice. Material and Methods: A systematic literature search was conducted on PubMed, EBSCO, and Scopus databases until February 2024. The addressed PICO question was, “How can the dentist maximize and optimize patient’s diagnosis and treatment planning using current digital technologies?” In addition, a meta-analysis of the selected studies was conducted, pooling the sensitivity and specificity information of the Diagnocat AI system regarding nine intraoral conditions, using R 3.5.1 software (R Core Team (2018)). Results: A total of 657 articles were obtained from the initial search, of which 13 articles met the inclusion criteria. All 13 articles concluded that the advanced digital technologies studied possessed advantageous outcomes in patient diagnosis and treatment planning procedures, providing more information regarding current patient conditions and future treatment planning steps. Five of the 13 articles were included in the meta-analysis and indicated that the Diagnocat AI system is a useful complementary diagnostic tool rather than a substitutional measure for dental practitioners. Conclusion: This systematic review and meta-analysis provided significant data showing that advanced digital technologies, such as CAD/CAM, Modjaw, Diagnocat, and DSD, optimize and maximize dental practitioner capabilities during diagnosis and treatment planning procedures, thus providing significant results in favor of the hypothesis.
Artificial intelligence; CAD/CAM; Diagnocat; Diagnosis and treatment plan; Digital smile design; Modjaw
Elad L, Hijazi T, Muwaquet S. Current Trends in Modern Dentistry: Diagnostic Sensitivity of AI in Detecting Dental Conditions. A Systematic Review and Meta-Analysis. J Dent Oral Biol. 2024; 9(2): 1229. ISSN: 2475-5680.